Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds value beyond that by noting it 'does not access a user browser or saved project' and that the payload is copyable/editable, which is genuinely useful context for an agent planning next steps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short sentences, front-loaded with what is read and defaulted to English, then the usage condition. Nothing is padded, though the final sentence partially restates the readOnly annotation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need not be spelled out, and annotations cover safety. The description supplies the trigger condition, default behavior, and localization semantics, leaving little an agent would need to infer for a single optional param.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry the meaning of 'language'. It does so well: 'Defaults to English labels; pass a supported language code to localize names' explains both the default and the effect. It doesn't enumerate supported codes, but the schema's enum covers that.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb+resource ('Read an example store, employees and complete project payload'), making clear this returns sample data rather than performing an operation. It does not explicitly distinguish itself from the closest sibling, rotase_create_demo_project, which also deals with example/demo project material.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Call this when the project structure or field names are unknown' gives a concrete triggering condition, and 'The returned project can be copied and edited before validation' clarifies the follow-on workflow. It stops short of naming alternatives or stating when-not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.